2001/06/30 by R. Stompor, A. Balbi, J. D. Borrill +19 · 1 citation
Physics and Astronomy · #Cosmology and Gravitation Theories #Radio Astronomy Observations and Technology #Scientific Research and Discoveries #astro-ph
paper · pdf · doi:10.1103/physrevd.65.022003
published as Phys.Rev. D65 (2002) 022003 · Replaced to match the published version, only minor changes
openalex publication_date 2001/12/26 · arxiv created 2002/01/12 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This work describes cosmic microwave background (CMB) data analysis algorithms and their implementations, developed to produce a pixelized map of the sky and a corresponding pixel-pixel noise correlation matrix from time ordered data for a CMB mapping experiment. We discuss in turn algorithms for estimating noise properties from the time ordered data, techniques for manipulating the time ordered data, and a number of variants of the maximum likelihood map-making procedure. We pay particular attention to issues pertinent to real CMB data, and present ways of incorporating them within the framework of maximum likelihood map making. Making a map of the sky is shown to be not only an intermediate step rendering an image of the sky, but also an important diagnostic stage, when tests for and/or removal of systematic effects can efficiently be performed. The case under study is the MAXIMA-I data set. However, the methods discussed are expected to be applicable to the analysis of other current and forthcoming CMB experiments.